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公开(公告)号：US20180096199A1
公开(公告)日：2018-04-05
申请号：US15820312
申请日：2017-11-21
Applicant: Blast Motion Inc.
Inventor： Bhaskar Bose , Piyush Gupta , Scott Lohr
IPC: G06K9/00 , H04N7/18 , A63F13/812
CPC classification number: G06K9/00342 , A63B24/0003 , A63B24/0021 , A63B24/0062 , A63B69/36 , A63B2024/0025 , A63B2220/34 , A63B2220/40 , A63B2220/44 , A63B2220/803 , A63B2220/806 , A63B2225/20 , A63F13/211 , A63F13/212 , A63F13/65 , A63F13/812 , G06F19/00 , G06F19/3481 , G06K9/0053 , G06Q10/0639 , G06Q10/0833 , G06Q50/01 , G06T7/251 , H04M1/7253 , H04M2250/12 , H04N7/181 , H04N7/186
Abstract: Motion capture system with a motion capture element that uses two or more sensors to measure a single physical quantity, for example to obtain both wide measurement range and high measurement precision. For example, a system may combine a low-range, high precision accelerometer having a range of −24 g to +24 g with a high-range accelerometer having a range of −400 g to +400 g. Data from the multiple sensors is transmitted to a computer that combines the individual sensor estimates into a single estimate for the physical quantity. Various methods may be used to combine individual estimates into a combined estimate, including for example weighting individual estimates by the inverse of the measurement variance of each sensor. Data may be extrapolated beyond the measurement range of a low-range sensor, using polynomial curves for example, and combined with data from a high-range sensor to form a combined estimate.
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公开(公告)号：US10133919B2
公开(公告)日：2018-11-20
申请号：US15820312
申请日：2017-11-21
Applicant: Blast Motion Inc.
Inventor： Bhaskar Bose , Piyush Gupta , Scott Lohr
IPC: H04N7/18 , G06K9/00 , G06Q10/06 , A63F13/812 , G06F19/00 , G06T7/246 , A63B24/00 , A63B69/36 , A63F13/212 , A63F13/65 , A63F13/211 , G06Q10/08 , G06Q50/00 , H04M1/725
Abstract: Motion capture system with a motion capture element that uses two or more sensors to measure a single physical quantity, for example to obtain both wide measurement range and high measurement precision. For example, a system may combine a low-range, high precision accelerometer having a range of −24 g to +24 g with a high-range accelerometer having a range of −400 g to +400 g. Data from the multiple sensors is transmitted to a computer that combines the individual sensor estimates into a single estimate for the physical quantity. Various methods may be used to combine individual estimates into a combined estimate, including for example weighting individual estimates by the inverse of the measurement variance of each sensor. Data may be extrapolated beyond the measurement range of a low-range sensor, using polynomial curves for example, and combined with data from a high-range sensor to form a combined estimate.
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公开(公告)号：US09824264B2
公开(公告)日：2017-11-21
申请号：US15490689
申请日：2017-04-18
Applicant: Blast Motion Inc.
Inventor： Bhaskar Bose , Piyush Gupta , Scott Lohr
CPC classification number: G06K9/00342 , A63B24/0003 , A63B24/0021 , A63B24/0062 , A63B69/36 , A63B2024/0025 , A63B2220/34 , A63B2220/40 , A63B2220/44 , A63B2220/803 , A63B2220/806 , A63B2225/20 , A63F13/211 , A63F13/212 , A63F13/65 , A63F13/812 , G06F19/00 , G06F19/3481 , G06K9/0053 , G06Q10/0639 , G06Q10/0833 , G06Q50/01 , G06T7/251 , H04M1/7253 , H04M2250/12 , H04N7/181 , H04N7/186
Abstract: Motion capture system with a motion capture element that uses two or more sensors to measure a single physical quantity, for example to obtain both wide measurement range and high measurement precision. For example, a system may combine a low-range, high precision accelerometer having a range of −24 g to +24 g with a high-range accelerometer having a range of −400 g to +400 g. Data from the multiple sensors is transmitted to a computer that combines the individual sensor estimates into a single estimate for the physical quantity. Various methods may be used to combine individual estimates into a combined estimate, including for example weighting individual estimates by the inverse of the measurement variance of each sensor. Data may be extrapolated beyond the measurement range of a low-range sensor, using polynomial curves for example, and combined with data from a high-range sensor to form a combined estimate.
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Patent Agency Ranking
公开(公告)号：US09626554B2
公开(公告)日：2017-04-18
申请号：US15268501
申请日：2016-09-16
Applicant: Blast Motion Inc.
Inventor： Bhaskar Bose , Piyush Gupta , Scott Lohr
CPC classification number: G06K9/00342 , A63B24/0003 , A63B24/0021 , A63B24/0062 , A63B69/36 , A63B2024/0025 , A63B2220/34 , A63B2220/40 , A63B2220/44 , A63B2220/803 , A63B2220/806 , A63B2225/20 , A63F13/211 , A63F13/212 , A63F13/65 , A63F13/812 , G06F19/00 , G06F19/3481 , G06K9/0053 , G06Q10/0639 , G06Q10/0833 , G06Q50/01 , G06T7/251 , H04M1/7253 , H04M2250/12 , H04N7/181 , H04N7/186
Abstract: Motion capture system with a motion capture element that uses two or more sensors to measure a single physical quantity, for example to obtain both wide measurement range and high measurement precision. For example, a system may combine a low-range, high precision accelerometer having a range of −24 g to +24 g with a high-range accelerometer having a range of −400 g to +400 g. Data from the multiple sensors is transmitted to a computer that combines the individual sensor estimates into a single estimate for the physical quantity. Various methods may be used to combine individual estimates into a combined estimate, including for example weighting individual estimates by the inverse of the measurement variance of each sensor. Data may be extrapolated beyond the measurement range of a low-range sensor, using polynomial curves for example, and combined with data from a high-range sensor to form a combined estimate.
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公开(公告)号：US12042697B2
公开(公告)日：2024-07-23
申请号：US17893119
申请日：2022-08-22
Applicant: Blast Motion Inc.
Inventor： Scott Lohr , Bhaskar Bose
CPC classification number: A63B24/0003 , A63B69/0002 , A63B71/0622 , H04W4/06 , H04W4/80 , A63B2024/0071 , A63B2069/0008 , A63B2102/18 , A63B2220/44 , A63B2220/833 , A63B2225/54
Abstract: A system that captures and analyzes motion data for equipment and that automatically captures the usage context in which the motion occurs. Context items in the environment may have attached beacons that broadcast their identities; a motion capture element on the equipment receives and analyzes these broadcast messages to determine which context items are nearby. Beacons may be grouped into categories such as “user”, “location”, “coach”, and “equipment”; the motion capture element determines the nearest beacon in each category, and these nearest beacons are used as the context for each motion. For example, in a baseball application players and coaches may wear pendants or similar accessories with personal beacons, and other beacons may be installed into bats, bases, batting cages, bullpens, or other locations. The context for a swing may include the player who made the swing, the bat used, a coach that was present, and where the swing occurred.
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公开(公告)号：US10706273B2
公开(公告)日：2020-07-07
申请号：US16196676
申请日：2018-11-20
Applicant: Blast Motion Inc.
Inventor： Bhaskar Bose , Piyush Gupta , Scott Lohr
IPC: H04N7/18 , G06K9/00 , G06Q10/08 , A63F13/211 , A63F13/65 , A63F13/212 , G06F19/00 , A63F13/812 , G06Q10/06 , G06T7/246 , G06F3/038 , G06F3/0346 , G16H40/63 , A63B24/00 , A63B69/36 , G16H20/30 , H04M1/725 , G06Q50/00
Abstract: Motion capture system with a motion capture element that uses two or more sensors to measure a single physical quantity, for example to obtain both wide measurement range and high measurement precision. For example, a system may combine a low-range, high precision accelerometer having a range of −24 g to +24 g with a high-range accelerometer having a range of −400 g to +400 g. Data from the multiple sensors is transmitted to a computer that combines the individual sensor estimates into a single estimate for the physical quantity. Various methods may be used to combine individual estimates into a combined estimate, including for example weighting individual estimates by the inverse of the measurement variance of each sensor. Data may be extrapolated beyond the measurement range of a low-range sensor, using polynomial curves for example, and combined with data from a high-range sensor to form a combined estimate.
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公开(公告)号：US08702516B2
公开(公告)日：2014-04-22
申请号：US13914525
申请日：2013-06-10
Applicant: Blast Motion, Inc.
Inventor： Michael Bentley , Scott Lohr , Ryan Kaps , Bhaskar Bose , Joe Scarbo , Juergen Haas
IPC: G07F17/32
CPC classification number: G06K9/00348 , A63F2300/105 , A63F2300/69 , G06K9/00342 , G06T7/20 , G06T7/215 , G06T2207/30221 , H04N7/18
Abstract: Enables recognition of events within motion data including but not limited to motion capture data obtained from portable wireless motion capture elements such as visual markers and sensors, radio frequency identification tags and motion sensors within mobile device computer systems, or calculated based on analyzed movement associated with the same user, other user, historical user or group of users. Provides low power transmission of events. Greatly reduces storage for events such as a shot, move or swing of a player, a concussion of a player, boxer, rider or driver, or a heat stroke, hypothermia, seizure, asthma attack, epileptic attack. Events may be correlated with image(s) as captured from internal/external camera(s) or nanny cam, for example to enable saving video of the event, such as the first steps of a child, violent shaking events, sporting, military or other motion events including concussions, or falling events associated with an elderly person.
Abstract translation: 允许识别运动数据中的事件，包括但不限于从移动设备计算机系统中的便携式无线运动捕获元件（例如视觉标记和传感器，射频识别标签和运动传感器）获得的运动捕捉数据，或者基于与 同一用户，其他用户，历史用户或用户组。 提供低功率传输的事件。 大大减少了玩家的射击，移动或摆动，玩家，拳击手，骑手或驾驶员的震荡，或中暑，低温，癫痫发作，哮喘发作，癫痫发作等事件的存储。 事件可以与从内部/外部相机或保姆凸轮捕获的图像相关联，例如以便能够保存事件的视频，诸如儿童的第一步骤，暴力震动事件，运动，军事或 其他运动事件，包括脑震荡，或与老年人有关的跌倒事件。
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公开(公告)号：US20130271602A1
公开(公告)日：2013-10-17
申请号：US13914525
申请日：2013-06-10
Applicant: BLAST MOTION, INC.
Inventor： Michael Bentley , Scott Lohr , Ryan Kaps , Bhaskar Bose , Joe Scarbo , Juergen Haas
IPC: H04N7/18
CPC classification number: G06K9/00348 , A63F2300/105 , A63F2300/69 , G06K9/00342 , G06T7/20 , G06T7/215 , G06T2207/30221 , H04N7/18
Abstract: Enables recognition of events within motion data including but not limited to motion capture data obtained from portable wireless motion capture elements such as visual markers and sensors, radio frequency identification tags and motion sensors within mobile device computer systems, or calculated based on analyzed movement associated with the same user, other user, historical user or group of users. Provides low power transmission of events. Greatly reduces storage for events such as a shot, move or swing of a player, a concussion of a player, boxer, rider or driver, or a heat stroke, hypothermia, seizure, asthma attack, epileptic attack. Events may be correlated with image(s) as captured from internal/external camera(s) or nanny cam, for example to enable saving video of the event, such as the first steps of a child, violent shaking events, sporting, military or other motion events including concussions, or falling events associated with an elderly person.
Abstract translation: 允许识别运动数据中的事件，包括但不限于从移动设备计算机系统中的便携式无线运动捕获元件（例如视觉标记和传感器，射频识别标签和运动传感器）获得的运动捕捉数据，或者基于与 同一用户，其他用户，历史用户或用户组。 提供低功率传输的事件。 大大减少了玩家的射击，移动或摆动，玩家，拳击手，骑手或驾驶员的震荡，或中暑，低温，癫痫发作，哮喘发作，癫痫发作等事件的存储。 事件可以与从内部/外部相机或保姆凸轮捕获的图像相关联，例如以便能够保存事件的视频，诸如儿童的第一步骤，暴力震动事件，运动，军事或 其他运动事件，包括脑震荡，或与老年人有关的跌倒事件。
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